Skip to content

VIRENA: Virtual Arena for Research, Education, and Democratic Innovation

Emma Hoes K. Jonathan Klueser Fabrizio Gilardi
Oct 2026
Artificial Intelligence Human-computer Interaction

Abstract

Digital platforms shape how people communicate, deliberate, and form opinions. Studying these dynamics has become harder because of restricted data access, ethical limits on real-world experiments, and the technical demands of existing research tools. VIRENA (Virtual Arena) is a platform for controlled experiments in realistic social media environments. Several participants can interact at the same time in replicas of feed-based platforms (Instagram, Facebook, Reddit, X) and messaging apps (WhatsApp, Messenger). AI agents powered by large language models (LLMs) join the participants with configurable personas and human-like timing. Researchers set up experiments in a visual interface without programming: they define conditions, schedule stimulus content, add moderation rules, assign participants randomly to conditions, and export the data. VIRENA supports designs that were hard to run before, such as studying human--AI interaction in realistic social settings, comparing moderation interventions, and observing group deliberation as it unfolds. Participants and data stay within institutional control, and the platform links to survey and recruitment tools. This paper describes how VIRENA works and how to use it.

View source

Similar papers

#computer vision Review Sep 2017

Agile Software Development Methods: Review and Analysis

This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.

P. Abrahamsson, O. Salo, Jussi Ronkainen et al. · 727 citations · ⚡54
#computer vision Jun 2008

The impact of agile practices on communication in software development

The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.

M. Pikkarainen, Jukka Haikara, O. Salo et al. · 401 citations · ⚡48
#machine learning Review Open access Oct 2014

Software development in startup companies: A systematic mapping study

The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.

Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al. · 394 citations · ⚡54

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.